Human Computer Data Interaction

Stats, Algorithms, and Applications

Susan Vanderplas

January 1, 2026

Outline

  1. Introduction
  2. CSI: Statistics and the Fundamentals of Science
  3. Perception & Statistical Graphics
  4. Machine Learning for Forensics

Introduction

2009 BS, Psychology & Applied Math Texas state outline with ATM logo from Texas A&M university.
2011 MS, Statistics A red I overlaid with STATE, the Iowa State university logo.
2015 Ph.D., Statistics
Dissertation: Perception of Statistical Graphics

Introduction

2015-18 Stat. Analyst, NE Public Power Nebraska Public Power District logo.
2018-19 Research Asst. Professor, CSAFE Center for Statistics and Applications in Forensic Evidence Logo.
2020-24 Asst. Professor, UNL
2024-26 Assoc. Professor, UNL

Recent Work

[1] M. A. Fudolig, E. A. Robinson, and S. Vanderplas. “Can You See The Change? Visual Perception in Change Point Analysis”. In: Journal of Computational and Graphical Statistics (ja Apr. 01, 2025), pp. 1-15.

[2] W. Li, D. Cook, E. Tanaka, et al. “Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web”. In: Australian & New Zealand Journal of Statistics (Oct. 09, 2025).

[3] E. A. Robinson, R. Howard, and S. Vanderplas. “Perception and Cognitive Implications of Logarithmic Scales for Exponentially Increasing Data: Perceptual Sensitivity Tested with Statistical Lineups”. In: Journal of Computational and Graphical Statistics (ja Mar. 11, 2025), pp. 1-14.

[4] E. Robinson, H. Hofmann, and S. Vanderplas. “A Guide to Designing Experiments to Test Statistical Graphics”. In: WIREs Computational Statistics 17.2 (Jul. 17, 2025), p. e70032.

[5] M. Cuellar, S. Vanderplas, A. Luby, et al. “Methodological problems in every black-box study of forensic firearm comparisons”. In: Law, Probability and Risk 23.1 (Dec. 05, 2024), p. mgae015.